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Ankit Sonthalia

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#small language model Preprint Oct 2026

Agent in a Bottle: Can LLM Agents Turn Their Capabilities Into Cheap, Scalable Artifacts?

This work introduces BOTTLED, a benchmark in which agents receive an entire unlabelled workload and must complete it under fixed time, compute and LLM API budgets, and finds that strong zero-shot task performance does not reliably translate into strong bottling capabilities.

Ankit Sonthalia, Haritz Puerto, Alexander Rubinstein et al. · 0 citations

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